Yehong Zhang

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Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporeE-mail confirmado em comp.nus.edu.sg
Rachael Sim Hwee LingPh.D. candidate, Department of Computer Science, National University of SingaporeE-mail confirmado em u.nus.edu
Trong Nghia HoangAssistant Professor, Washington State UniversityE-mail confirmado em wsu.edu
Mohan KankanhalliProfessor of Computer Science, National University of SingaporeE-mail confirmado em comp.nus.edu.sg
Yue YuProfessor at Pengcheng LaboratoryE-mail confirmado em nudt.edu.cn
Patrick JailletDugald C. Jackson Professor, EECS, MITE-mail confirmado em mit.edu
Xin MuPengcheng LaboratoryE-mail confirmado em lamda.nju.edu.cn
Chen JieShenzhen UniversityE-mail confirmado em szu.edu.cn
Zhongxiang DaiAssistant Professor, The Chinese University of Hong Kong, ShenzhenE-mail confirmado em cuhk.edu.cn
Mohit RajpalPhD Student, National University of SingaporeE-mail confirmado em nus.edu.sg
Yang XiangPeng Cheng Laboratory, ChinaE-mail confirmado em pcl.ac.cn
Yuhui WangPhD Student, NUS Graduate School for Integrative Sciences and Engineering, National University ofE-mail confirmado em u.nus.edu

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Yehong Zhang

Peng Cheng Laboratory

E-mail confirmado em pcl.ac.cn

Bayesian Optimization Probabilistic Machine Learning Multi-Task Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
PanGu-: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation W Zeng, X Ren, T Su, H Wang, Y Liao, Z Wang, X Jiang, ZZ Yang, K Wang, ... arXiv preprint arXiv:2104.12369, 2021	225	2021
Collaborative Machine Learning with Incentive-Aware Model Rewards RHL Sim, Y Zhang, MC Chan, BKH Low 37th International Conference on Machine Learning (ICML-20), 2020	157	2020
Information-Based Multi-Fidelity Bayesian Optimization Y Zhang, TN Hoang, BKH Low, M Kankanhalli NIPS Workshop on Bayesian Optimization, 2017	77	2017
Near-optimal Active Learning of Multi-Output Gaussian Processes Y Zhang, TN Hoang, KH Low, M Kankanhalli Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16 …, 2016	43	2016
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression T Teng, J Chen, Y Zhang, KH Low 34th AAAI Conference on Artificial Intelligence (AAAI-20), 2020	31	2020
Collaborative Bayesian Optimization with Fair Regret RHL Sim, Y Zhang, BKH Low, P Jaillet International Conference on Machine Learning (ICML-2021), 9691-9701, 2021	29	2021
Bayesian Optimization with Binary Auxiliary Information Y Zhang, Z Dai, KH Low 35th Conference on Uncertainty in Artificial Intelligence (UAI-19), 2019	26	2019
Concept based hybrid fusion of multimodal event signals Y Wang, C von der Weth, Y Zhang, KH Low, VK Singh, M Kankanhalli 2016 IEEE International Symposium on Multimedia (ISM), 14-19, 2016	21	2016
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing J Luo, Y Zhang, J Zhang, S Qin, H Wang, Y Yu, Z Xu 39th Conference on Uncertainty in Artificial Intelligence (UAI-2023), 2023	9	2023
Secformer: Towards fast and accurate privacy-preserving inference for large language models J Luo, Y Zhang, J Zhang, X Mu, H Wang, Y Yu, Z Xu Findings of the Association for Computational Linguistics: ACL 2024, 2024	8	2024
Incentives in Private Collaborative Machine Learning RHL Sim, Y Zhang, TN Hoang, X Xu, BKH Low, P Jaillet 37th Conference on Neural Information Processing Systems (NeurIPS-2023), 2023	6	2023
Pruning during training by network efficacy modeling M Rajpal, Y Zhang, BKH Low Machine Learning (ECML-PKDD 2023 Journal Track), 1-32, 2023	5*	2023
Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos J Wei, P Lin, J Jiang, H Liu, L Zhao, Y Zhang, X Han, F Zhang, J Huang, ... Future Generation Computer Systems, 2024	1	2024
Efficient privacy-preserving Gaussian process via secure multi-party computation S Liu, J Luo, Y Zhang, H Wang, Y Yu, Z Xu Journal of Systems Architecture 151, 103134, 2024	1	2024
Incentives in federated learning RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ... Federated Learning, 299-309, 2024	1	2024
Model Provenance via Model DNA X Mu, Y Wang, Y Zhang, J Zhang, H Wang, Y Xiang, Y Yu arXiv preprint arXiv:2308.02121, 2023	1	2023
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy S Liu, W Shi, Z Xu, S Lv, Y Zhang, H Wang 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), 2024		2024
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection X Mu, Y Wang, Z Huang, J Lai, Y Zhang, H Wang, Y Yu 38th AAAI Conference on Artificial Intelligence (AAAI-2024), 2024		2024
Data-Efficient Machine Learning with Multiple Output Types and High Input Dimensions Z Yehong National University of Singapore, 2017		2017

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